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ISSN: 1072-6691. URL: http://ejde.math.txstate.edu or http://ejde.math.unt.edu ftp ejde.math.txstate.edu (login: ftp)

ASYMPTOTIC PROFILE OF A RADIALLY SYMMETRIC SOLUTION WITH TRANSITION LAYERS FOR AN

UNBALANCED BISTABLE EQUATION

HIROSHI MATSUZAWA

Abstract. In this article, we consider the semilinear elliptic problem

−ε2∆u=h(|x|)2(ua(|x|))(1u2)

in B1(0) with the Neumann boundary condition. The function a is a C1 function satisfying |a(x)| < 1 for x [0,1] and a0(0) = 0. In particular we consider the casea(r) = 0 on some intervalI[0,1]. The functionhis a positiveC1function satisfyingh0(0) = 0. We investigate an asymptotic profile of the global minimizer corresponding to the energy functional asε0. We use the variational procedure used in [4] with a few modifications prompted by the presence of the functionh.

1. Introduction and Statement of Main Results In this article, we consider the boundary value problem

−ε2∆u=h(|x|)2(u−a(|x|))(1−u2) in B1(0)

∂u

∂ν = 0 on∂B1(0)

(1.1) where ε is a small positive parameter,B1(0) is a unit ball in RN centered at the origin, and the functionais aC1function on [0,1] satisfying−1< a(|x|)<1 and a0(0) = 0. The function his a positive C1 function on [0,1] satisfying h0(0) = 0.

We setr=|x|.

Problem (1.1) appears in various models such as population genetics, chemical reactor theory and phase transition phenomena. See [1] and the references therein.

If the function h satisfies h(r) ≡ 1 and the function a satisfies a(r) 6≡ 0, then this problem (1.1) has been studied in [1], [4] and [7]. In this case, it is shown that there exist radially symmetric solutions with transition layers near the set {x∈B1(0)|a(|x|) = 0}. If the set{r∈R|a(r) = 0} contains an intervalI, then the problem to decide the configuration of transition layer onI is more delicate.

When N = 1, if the functionh satisfies h(r) 6≡ 1 and the function a satisfies a(r) ≡ 0, then problem (1.1) has been studied in [8] and [9]. In this case, it is

2000Mathematics Subject Classification. 35B40, 35J25, 35J55, 35J50, 35K57.

Key words and phrases. Transition layer; Allen-Cahn equation; bistable equation; unbalanced.

c

2006 Texas State University - San Marcos.

Submitted August 31, 2005. Published January 11, 2006.

1

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shown that there exist stable solutions with transition layers near prescribed local minimum points ofh.

In this paper, we consider the case where the functionasatisfies a(r)6≡0 with a(r) = 0 on some intervalI⊂(0,1). We show the minimum point of the function rN−1h(r) on I has very important role to decide the configuration of transition layer onI in this case.

We note that in [4], Dancer and Shusen Yan considered a problem similar to ours. They assume thatN ≥2,h≡1 and the nonlinear term isu(u−a|x|)(1−u) satisfying a(r) = 1/2 on I = [l1, l2] and a(r) < 1/2 for l1−r > 0 small and a(r) > 1/2 for r−l2 > 0 small, then a global minimizer of the corresponding functional has a transition layer near the l1, that is, the minimum point of rN−1 onI (see [4, Theorem 1.3]). In this sense, we can say that our results are natural extension of the results in [4]. We are going to follow throughout the variational procedure used in [4] with a few modifications prompted by the presence of the functionh.

Here we state the energy functional, corresponding to (1.1), Jε(u) =

Z

B1(0)

ε2

2 |∇u|2−F(|x|, u)dx, where F(|x|, u) =Ru

−1f(|x|, s)dsand f(|x|, u) =h(|x|)2(u−a(|x|))(1−u2). It is easy to see that the following minimization problem has a minimizer

inf{Jε(u)|u∈H1(B1(0))}. (1.2) LetA={x∈B1(0)|a(|x|)<0} andA+={x∈B1(0)|a(|x|)>0}.

In this paper, we will analyze the profile of the minimizer of (1.2), and prove the following results.

Theorem 1.1. Letuεbe a global minimizer of (1.2). Thenuεis radially symmetric and

uε

(1, uniformly on each compact subset of A,

−1, uniformly on each compact subset of A+,

as ε→ 0. In particular uε converges uniformly near the boundary of B1(0), that is, if a(r) < 0 on [r0,1] for some r0 > 0, uε → 1 uniformly on B1(0)\Br0(0) and if a(r)>0 on [r0,1] for some r0 >0,uε → −1 uniformly on B1(0)\Br0(0).

Moreover, for any0< r1≤r2<1 with a(ri) = 0,i= 1,2,a(r)6= 0 forr1−r >0 small and for r−r2>0 small, a(r) = 0 ifr∈[r1, r2], we have:

(i) If a(r) < 0 for r1−r > 0 small and a(r) > 0 for r−r2 > 0, then for any smallη >0 and for any smallθ >0, there exists a positive numberε0

which has the following properties:

(a) For allε∈(0, ε0], there existtε,1< tε,2 such that uε(r)>1−η forr∈[r1−θ, tε,1),

uε(tε,1) = 1−η, uε(tε,2) =−1 +η,

uε(r)<−1 +η, forr∈(tε,2, r2+θ].

(b) The functionuε(r)is decreasing on the interval(tε,1, tε,2)

(c) The inequality0 < R1tε,2−tε ε,1 ≤R2 holds, where R1 and R2 are two constants independent ofε >0.

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(d) Iftεj,1,tεj,2→tfor some positive sequence{εj}converging to zero as j→ ∞, thent satisfiesh(t)tN−1= mins∈[r1,r2]h(s)sN−1.

(ii) If a(r)>0forr1−r >0small and a(r)<0 forr−r2>0, then for each smallη >0and for each smallθ >0, there exists a positive numberε0which has the following properties: For eachε∈(0, ε0], there existtε,1< tε,2such that

(a)

uε(r)<−1 +η forr∈[r1−θ, tε,1), uε(tε,1) =−1 +η,

uε(tε,2) = 1−η,

uε(r)>1−η, forr∈(tε,2, r2+θ].

(b) The functionuε(r)is increasing in (tε,1, tε,2).

(c) The inequality0 < R1tε,2−tε ε,1 ≤R2 holds, where R1 and R2 are two constants independent ofε >0.

(d) Iftεj,1,tεj,2→tfor some positive sequence{εj}converging to zero as j→ ∞, thent satisfiesh(t)tN−1= mins∈[r1,r2]h(s)sN−1.

Figure 1. Profile of the global minimizeruε

Remarks.

• Note that results from (a) to (c) both in cases (i) and (ii) are not related to the presence of the functionh. The effect of presence of functionhappears in the result (d) in (i) and (ii).

• If mins∈[r1,r2]sN−1h(s) is attained at a unique point t, we can show tε,1, tε,2→tasε→0 without taking subsequences.

• If the functionrN−1h(r) is constant on [r1, r2], it is a very difficult problem to know the location of the pointt∈[r1, r2].

This paper is organized as follows: In section 2, we present some preliminary results. In section 3, we prove the main theorem.

2. Preliminary Results

LetD is a bounded domain in RN. Letf(x, t) be a function defined onD×R which is bounded onD×[−1,1]. Supposef is continuous ont∈Rfor eachx∈D

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and is measurable inDfor eacht∈R. We also assume f(x, t)>0 forx∈D, t <−1;

f(x, t)<0 forx∈D, t >1. (2.1) Consider the minimization problem

inf

Jε(u, D) :=

Z

D

ε2

2|∇u|2−F(x, u)dx:u−η∈H01(D)

, (2.2)

whereη∈H1(D) with−1≤η≤1 onD and F(x, t) =

Z t

−1

f(x, s)ds.

We can prove next two lemmas by methods similar to [4]. For the readers conve- nience, we prove these lemmas in this section.

Lemma 2.1. Suppose that f(x, t) satisfies (2.1). Let uε be a minimizer of (2.2).

Then−1≤uε≤1 onD.

Proof. We prove−1≤uε onD. LetM ={x:uε(x)<−1}. Define ˜uεby

˜ uε(x) =

(uε(x) ifx∈D\M

−1 ifx∈M.

Since uε(x) =η ≥ −1 on∂D, we see thatM is compactly contained inD. Thus

˜

u−η ∈ H01(D). If the measure m(M) of M is positive, we have Jε(˜uε, D) <

Jε(uε, D). Because uε is a minimizer, we see m(M) = 0, where m(A) denotes the Lebesgue measure of the set A. Thus uε ≥ −1. Similarly we can prove that

uε≤1.

Lemma 2.2. Suppose that f1(x, t) and f2(x, t) both satisfy (2.1) and the same regularity assumption on f. Assume that ηi ∈ H1(D) satisfy −1 ≤ηi ≤1 on D for i = 1,2. Let uε,i be a corresponding minimizer of (2.2), where f = fi and η =ηi, i = 1,2. Suppose that f1(x, t) ≥f2(x, t) for all (x, t)∈ D×[−1,1] and 1≥η1≥η2≥ −1. Thenuε,1≥uε,2.

Proof. LetM ={x∈D:uε,2> uε,1}. Define ϕε= (uε,2−uε,1)+. Sinceη1≥η2, we haveϕε∈H01(D). SetFi(x, u) =Ru

−1fi(x, s)ds. Sinceuε,i is a minimizer of Jε,i(u) :=

Z

D

ε2

2|∇u|2−Fi(x, u)dx andϕε= 0 forx∈D\M, we have

0≤Jε,1(uε,1ε)−Jε,1(uε,1)

= Z

M

ε2

2 (|∇(uε,1ε)|2− |∇uε,1|2)dx− Z

M

Z uε,1ε uε,1

f1(x, s)ds

≤ Z

M

ε2

2 (|∇(uε,1ε)|2− |∇uε,1|2)dx− Z

M

Z uε,1ε uε,1

f2(x, s)ds

=Jε,2(uε,2)−Jε,2(uε,2−ϕε)≤0.

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This implies thatuε,1εis also a minimizer ofJε,1(u). LetL >0 be large enough such thatf1(x, t) +Ltis strictly increasing forx∈D,t∈[−1,1]. From

−ε2∆(uε,1ε) =f1(uε,1ε), we obtain

−ε2∆ϕε=f1(uε,1ε)−f1(uε,1).

Thus

−ε2∆ϕε+Lϕε=f1(uε,1ε) +L(uε,1ε)−(f1(uε,1) +Luε,1)>0 in D. Fix z0 ∈M. Let x0 ∈∂M such that |x0−z0|= dist(z0, ∂M). Using the Strong maximum principle and Hopf’s lemma in Bdist(z0,∂M)(z0), we obtain that

∂ϕε

∂ν (x0) < 0, where ν = (x0−z0)/|x0−z0|. But ϕε(x) = 0 for x /∈ M. Thus,

∂ϕε

∂ν (x0) = 0. This is a contradiction. Thus we obtainM =∅.

3. Proof of Main Theorem

To prove Theorem 1.1, the following proposition is used as the first step.

Propositon 3.1. Let uε be a global minimizer of the problem (1.2). Then uε satisfies

uε

(1 uniformly on each compact subset of A

−1 uniformly on each compact subset of A+ asε→0.

Proof. Let x0 ∈ A. Choose δ > 0 small so that Bδ(x0) ⊂⊂ A. Take b ∈ (maxz∈B

δ(x0)a(z),1/2). Define fx0,δ,b(t) = (minz∈Bδ(x0)h(|z|)2)(t −b)(1−t2).

Then for x ∈ Bδ(x0), t ∈ [−1,1], we have f(|x|, t) ≥ fx0,δ,b(t). Let uε,x0,δ,b be the minimizer of

infnZ

Bδ(x0)

ε2

2 |∇u|2−Fx0,δ,b(u)dx:u+ 1∈H01(Bδ(x0))o ,

whereFx0,δ,b(t) =Rt

−1fx0,δ,b(s)ds. It follows from Lemmas 2.1 and 2.2 that uε,x0,δ,b(x)≤uε(x)≤1, forx∈Bδ(x0).

Since R1

−1fx0,δ,b(s)ds > 0, it follows from [2, 3] that uε,x0,δ,b(x) → 1 as ε → 0 uniformly inBδ/2(x0), thusuε(x)→1 asε→0 uniformly inBδ/2(x0).

To prove the rest of Theorem 1.1, we need the following proposition and lemma.

Propositon 3.2. Let ube a local minimizer of the problem infnZ

B1(0)

1

2|∇u|2−G(|x|, u)dx:u∈H1(B1(0))o .

HereG(r, t) =Rt

−1g(r, s)ds,g(r, t)isC1int∈Rfor eachr≥0,g(r, t)andgt(r, t) are measurable on [0,+∞) for each t ∈ R, g(r, t) < 0 if t < −1 or t > 1 and

|g(r, t)|+|gt(r, t)| is bounded on [0, k]×[−2,2] for any k >0. Then u is radial, i.e., u(x) =u(|x|).

The proof of the above proposition can be found in [4, Proposition 2.6].

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Lemma 3.3. Let 0< η <1 be any fixed constant andwsatisfies

−wzz=w(1−w2) on R, w(0) =−1 +η (resp. w(0) = 1−η), w(z)≤ −1 +η (resp. w(z)≥1−η) forz≤0,

w is bounded onR. Thenwis a unique solution of

−wzz=w(1−w2) on R, w(0) =−1 +η (resp. w(0) = 1−η), w0(z)>0 (resp. w0(z)<0) z∈R, w(z)→ ±1 (resp. w(z)→ ∓1) asz→ ±∞.

The proof of the above lemma can be found in [6]. Now we prove the rest of Theorem 1.1.

Proof of Theorem 1.1. For the sake of simplicity, we prove for the case wherea(r)<

0 on [0, r1), a(r) = 0 on [r1, r2] anda(r)>0 on (r2,1] for some 0 < r1 < r2 <1 (see Figure 1 in Section 1).

Part 1. First we show that uε converges uniformly near the boundary of B1(0), that is,uε→ −1 uniformly onB1(0)\Br2(0) for any small τ >0. We note that we have uε → −1 uniformly onB1−τ(0)\Br2(0) as ε→ 0. Now we claim that uε(r)≤uε(1−τ) =:Tεforr∈[1−τ,1]. We define the function ˜uεby

˜ uε(r) =





uε(r) ifr∈[0,1−τ]

uε(r) ifuε(r)< Tε andr∈[1−τ,1], Tε ifuε(r)≥Tε andr∈[1−τ,1].

We note that ˜uε∈H1(B1(0)) and−F(r, Tε)≤ −F(r, t) forε >0 and |r−1|small and t ≥Tε. Hence we obtain Jε(˜uε)< Jε(uε) and we have a contradiction if we assume that the measure of the set {r ∈ [0,1]|uε(r) > Tε and r ∈ [1−τ,1]} is positive. Hence−1< uε(r)≤Tεanduε→ −1 uniformly on B1(0)\Br2(0).

Part 2. We remark that, by Proposition 3.1,uεis radially symmetric and we note that for anyt2> t1,uε is a minimizer of the following problem

inf{Jε(u, Bt2(0)\Bt1(0)) :u−uε∈H01(Bt2(0)\Bt1(0))}, where

Jε(u, M) = Z

M

ε2

2|∇u|2−F(|x|, u)dx

for any open setM. Letmε,t1,t2 be the minimum value of this minimization prob- lem.

In this part we show thatuε has exactly one layer near the interval [r1, r2].

Step 2.1. First we estimate the energy of transition layer. Let η >0 and θ > 0 be small numbers. Sinceuε →1 uniformly on [0, r1−θ] and uε → −1 uniformly on [r2 +θ,1−θ], we can find rε ∈ (r1 −θ, r2 +θ) such that uε(r) ≥ 1−η if r∈[0, rε],uε(r)<1−η forr−rε>0 small. Let ˜rε> rεbe such thatuε(r)≤ηif r∈[˜rε,1−θ],uε(r)> ηfor ˜rε−r >0 small. We may assume thatrε→r∈[r1, r2] and ˜rε→r˜∈[r1, r2]

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We employ the so-called blow-up argument. Letvε(t) =uε(εt+rε). Then

−vε00−εN−1 εt+rε

v0ε=f(εt+rε, vε),

−1≤vε≤1 andvε(0) = 1−η. Sincerε→r∈[r1, r2], it is easy to see thatvε→v inCloc1 (R) and

−v00=h(r)2(v−v3), t∈R.

andv(t)≥1−ηfort≤0. If we setv(t) =V(h(r)t), the functionV(t) satisfies

−V00=V −V3 onR, V(0) = 1−η, V0(t)≥1−η t≤0.

(3.1) Hence by Lemma 3.3, the functionV is a unique solution for

−V00=V −V3 onR, V(0) = 1−η, V0(t)<0 t≤0.

V(t)→ ±1 ast→ ∓∞.

(3.2)

Thus, we can find anR >0 large, such thatv(R) =η. Sincevε→vinCloc1 (R), we can find anRε∈(R−1, R+1), such thatvε0(r)<0 ifr∈[0, Rε] andvε(Rε) =−1+η.

Henceu0ε(r)<0 ifr∈[rε, rε+εRε] anduε(rε+εRε) =−1 +η. Then we have Jε(uε, Brε+εRε(0)\Brε(0))

N−1(rNε−1+oε(1))

Z rε+εRε rε

ε2

2 |u0ε|2−F(t, uε)

dt

N−1(rNε−1+oε(1))ε Z Rε

0

1

2|vε0|2−F(εt+rε, vε)

dt

N−1(rNε−1+oε(1))(βh(r)+O(η) +oε(1))ε,

(3.3)

whereωN−1 is the area of the unit sphere inRN, oε(1)→0 as ε→0,βh(s) is the positive value defined by

βh(s)= Z +∞

−∞

1

2|w0h(s)(t)|2+h(s)2(w2h(s)−1)2 4

dt

=h(s) Z +∞

−∞

1

2|V0(t)|2+(V(t)2−1)2

4 dt

=h(s)β1

and wh(s)(t) = V(h(s)t) for s ∈ [0,1]. We note that although the function V depends onη, the value

β1= Z +∞

−∞

1

2|V0(t)|2+(V(t)2−1)2

4 dt

is independent ofη.

Step 2.2. We claimuεhas exactly one layer near the interval [r1, r2]. To showuε

has exactly one layer near the interval [r1, r2], it sufficient to prove the following claim

Claim. r˜ε=rε+εRε.

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Suppose that the claim is not true. Then we can find atε> rε+Rεεsuch that uε(r)<−1 +ηifr∈(rε+Rεε, tε),uε(tε) =−1 +η. Thus we can use the blow-up argument again at tε to deduce that there is a ˜tε = tε+εR˜ε with u0ε(r) > 0 if r ∈ (tε,˜tε), uε(˜tε) = 1−η. We may assume that tε,˜tε → t as ε → 0 for some t∈[r2, r3]. Moreover

Jε(uε, B˜tε(0)\Btε(0)) =ωN−1(tNε−1+oε(1))(βh(t)+O(η))ε+oε(1) (3.4) Now we claim ˜tε ≥r1. Suppose ˜tε< r1. LetFa(t) =Rt

−1(v−a)(1−v2)dv. Then for anyt >0 small ands∈[−1 +t,1−t],

Fa(1−t)−Fa(s)

=F0(1−t)−F0(s) +Fa(1−t)−F0(1−t)−Fa(s) +F0(s)

=(v2−1)2 4

1−t s −a

Z 1−t s

(1−v2)dv

(3.5)

Thus it follows from (3.5) that ifa <0, then

Fa(1−t)−Fa(s)>0 (3.6) fors∈[−1 +t,1−t]. Define

uε(r) :=

(1−η r∈[rε, rε+Rεε]∪[tε,˜tε],

−uε(r) r∈[rε+Rεε, tε].

By the assumption that ˜tε < r1 and using (3.6), we see F(r, uε) < F(r, uε) if r∈[rε,˜tε]. Hence, we obtain

Jε(uε, B˜tε(0)\Brε(0))< Jε(uε, Bt˜ε(0)\Brε(0)).

Thus we obtain a contradiction. Therefore we have that ˜tε≥r1.

Sincea(r)≥0 forr∈[r1,1], we see F(r, t)≤F(r,−1) = 0 if r∈[r1,1]. Since uε(r)∈(−1,−1 +η) forr∈[rε+Rεε, tε], we have

mε,rεrε=Jε(uε, Brε+εRε(0)\Brε(0)) +Jε(uε, B˜tε(0)\Btε(0)) +Jε(uε, Btε(0)\Brε+εRε(0)) +Jε(uε, B˜rε(0)\Bt˜ε(0))

≥ωN−1(rNε−1βh(r)ε+tN−1ε βh(t)ε) +O(ηε) +o(ε) + infn

− Z

B(0)\Brε+εRε(0)

F(r, w) :−1≤w≤1 +ηo + infn

− Z

B˜(0)\B˜(0)

F(r, w) :−1≤w≤1o

≥ωN−1(rNε−1βh(r)ε+tN−1ε βh(t)ε) +O(ηε) +o(ε)

(3.7)

Now we give an upper bound formε,rεrε. LetR >0 be such thatV(h(r)R) =η, whereV is a unique solution to (3.2). Defineuε by

uε(r) :=









V(h(r)r−rεε) r∈[rε, rε+εR]

−1 +η−ηε(r−rε−εR) r∈[rε+εR, rε+εR+ε]

−1 r∈[rε+εR+ε,r˜ε−ε]

−1 + ηε(r−r˜ε+ε) r∈[˜rε−ε,r˜ε]

(3.8)

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Now we note that|F(r, t)|=O(η) forr∈[rε,˜rε] and−1≤t≤ −1 +η . Then we have

mε,rεrε ≤Jε(uε, Br˜ε(0)\Brε(0))

≤Jε(uε, Brε+Rε(0)\Brε(0)) +Jε(uε, Br˜ε(0)\Br˜ε−ε(0)) +Jε(uε, Br˜ε−ε(0)\Brε+εR(0))

≤ωN−1rN−1εh(r)+O(η))ε+o(ε) +O(εη) +o(ε)

N−1rN−1ε βh(r)+O(ηε) +o(ε)

(3.9)

By (3.7) and (3.9), we have

ωN−1(rNε−1βh(r)+tNε−1βh(t))ε≤ωN−1rN−1ε βh(r)ε+O(εη) +o(ε) This is a contradiction. So we can conclude ˜rε=rε+εRε.

Part 3. It remains to prove that ifrεj →rfor some positive sequence {εj} con- verging to zero asj→ ∞thenrsatisfies

rN−1h(r) = min

s∈[r1,r2]

sN−1h(s).

Step 3.1. First we note that from Part 1, the functionuεsatisfies−1≤uε≤ −1+η forr∈[rε+εRε,1] in this case.

Step 3.2. Set H(s) = sN−1h(s). Assume that the result is not true. Then there exists a subsequence of {rε} (denoted by rε) such that rε → r0 ∈ [r1, r2] and H(r0) > mins∈[r1,r2]H(s). Then we can find a point t ∈ (r1, r2) such that H(r0)> H(t).

Now we give a lower estimate forJε(uε). We have

Jε(uε) =Jε(uε, Brε(0)) +Jε(uε, Brε+εRε(0)\Brε(0)) +Jε(uε, B1(0)\Brε+Rεε(0)).

(3.10) First we note that 1−η ≤ uε(r) ≤1 for r≤rε and for sufficiently small η >0,

−F(r, u)≥ −F(r,1) (u∈[1−η,1]). We also remark that sincea(r)<0 forr < r1

and a(r) = 0 forr1 ≤r ≤r2 and a(r)>0 for r > r2, we have −F(r,1) <0 for r < r1 and −F(r,1) = 0 for r1 ≤r≤r2 and −F(r,1) >0 forr > r2. Hence we have−Rrε

r1 rN−1F(r,1)dr≥0 and we obtain the estimate Jε(uε, Brε(0))≥ −

Z rε 0

rN−1F(r, uε)dr

≥ − Z rε

0

rN−1F(r,1)dr

=− Z r1

0

rN−1F(r,1)dr− Z rε

r1

rN−1F(r,1)dr

≥ − Z r1

0

rN−1F(r,1)dr=:A.

(3.11)

Using methods similar to those in the proof of (3.3), we obtain

Jε(uε, Brε+Rεε(0)\Brε(0))≥ωN−1H(r01ε+O(ηε) +o(ε). (3.12)

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Since −1 ≤ uε(r) ≤ −1 +η for r ≥ rε+εRε and for sufficiently small η > 0,

−F(r, u)≥ −F(r,−1) = 0 (u∈[−1,−1 +η]), we obtain the estimate Jε(uε, B1(0)\Brε+Rεε(0))≥ −

Z 1 rε+εRε

rN−1F(r, uε)dr

≥ − Z 1

rε+εRε

rN−1F(r,−1)dr= 0.

(3.13)

Thus we obtain

J(uε)≥A+ωN−1H(r01ε+O(ηε) +o(ε). (3.14) Next we give an upper bound forJε(uε). Consider the function

wε(r) :=













1 r∈[0, t−ε]

1−ηε(r−t+ε) r∈[t−ε, t]

V h(t)r−tε

r∈[t, t+εR0]

−1−ηε(r−t−εR0−ε) r∈[t+εR0, t+εR0+ε]

−1 r∈[t+εR0+ε,1], whereR0>0 is the number satisfyingV(h(t)R0) =−1 +η. Then

Jε(uε)≤Jε(wε)≤A+ωN−1H(t)β1ε+O(ηε) +o(ε). (3.15) By (3.14) and (3.15) we have a contradiction. The proof of Theorem 1.1 is complete.

The more complicate case, can be shown by a similar method (see Remark below).

Remark. We briefly show the more complicate case, that is, whenais the function as in Figure 2. More precisely we setI1:= [r1, r2] andI2:= [r3, r4] and we assume a >0 on [0, r1)∪(r4,1] anda <0 on (r3, r4).

r

1

r

2

r

3

r

4

a ( r )

u

I

1

I

2

ǭ

1

-1 O r

Figure 2. Special case of coefficienta(t)

Letη >0 andθ >0 be small numbers. As in Part 1, we can find pairs of numbers (r1,ε, r2,ε) and (R1,ε, Rε,2) satisfyingr1,ε ∈(r1−θ, r2+θ), r2,ε ∈(r3−θ, r4+θ),

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supε|R1,ε|<∞, supε|R2,ε|<∞and

uε(r)<−1 +η for 0< r < r1,ε

uε(r1,ε) =−1 +η uε(r1,ε+εR1,ε) = 1−η

uε(r)>1−η forr1,ε+εR1,ε< r < r2,ε

uε(r2,ε) = 1−η uε(r2,ε+εR2,ε) =−1 +η uε(r)<−1 +η forr2,ε+εR2,ε< r <1

We assume thatr1,εj →r1 ∈I1 and that r2,εj →r2∈I2 for some sequence {εj} which converges to 0 as j→ ∞. In this case it is easy to show that the energy of global minimizerJ(uε) is estimated as follows

Jεj(uεj)≥Jεj(uεj, Br2−ε(0)) +εjωN−1H(r21+B+O(εjη) +o(εj), (3.16) whereB=−Rr3

r2 rN−1F(r,1)dr.

Let us assume the result does not hold. ThenH(r1)>mins∈I1H(s) orH(r2)>

mins∈I2 hold. We assume H(r1) = mins∈I1 and H(r2)> mins∈I2H(s). We also assumer1=r1. We note that if H(r1)>mins∈I1H(s) orr1∈intI1, the proof is more easy.

Let we take ˜r2 ∈intI2 such that H(r2)> H(˜r2) >mins∈I2H(s) and consider the function

˜ uε(r) :=





















uε(r) on [0, r2−ε)

1 +ηε(r−r2) on [r2−ε, r2] 1 on [r2,r˜2−ε]

1−ηε(r−˜r2+ε) on [˜r2−ε,r˜2] V h(˜r2)r−˜εr2

on [˜r2,r˜2+εR00]

−1−ηε(r−r˜2−εR00−ε) on [˜r2+εR00,r˜2+εR00+ε]

−1 on [˜r2+εR00+ε,1],

where V is the unique solution of (3.2) and R00 is the unique value such that V(h(r1)R00) =−1 +η.

Sinceuεis global minimizer, we can estimate the energy ofJε(˜uε) as follows Jε(uε)≤Jε(˜uε)≤Jε(uε, Br2−ε(0)) +εωN−1H(˜r21+B+O(εη) +o(ε). (3.17) Then we have a contradiction from (3.16) and (3.17) by taking ε =εj and suffi- ciently largej.

Acknowledgments. The author would like to thank Professor Kazuhiro Kurata for his valuable advice and help, also to the anonymous referee for the numerous and useful comments.

References

[1] S. B. Angenent, J. Mallet-Paret, and L. A. Peletier,Stable transition layers in a semilinear boundary value problem, J. Differential Equations,67(1987), 212-242.

[2] Ph. Cl´ement and L. A. Peletier,On a nonlinear eigenvalue problem occurring in population genetics, Proc. Royal Soc. Edinburg,100A(1985), 85-101.

[3] Ph. Cl´ement abd G. Sweers, Existence of multiplicity results for a semilinear eigenvalue problem, Ann. Scuola Norm. Sup. Pisa,14(1987), 97-121

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[4] E. N. Dancer, S. Yan, Construction of various type of solutions for an elliptic problem, Calculus of Variations and Partial Differential Equations20(2004), 93-118.

[5] D. Gilbarg and N. S. Trudinger, Elliptic partial differential equations of second order, Springer-Verlag, Berlin, second edition 1983.

[6] H. Matsuzawa,Stable transition layers in a balanced bistable equation with degeneracy, Non- linear Analysis58(2004), 45-67.

[7] A. S. do. Nascimento,Stable transition layers in a semilinear diffusion equation with spatial inhomogeneities inN-dimensional domains, J. Differential Equations,190(2003), 16-38.

[8] K. Nakashima,Multi-layered stationary solutions for a spatially inhomogeneous Allen-Cahn equation, J. Differential Equations,191(2003), 234-276.

[9] K. Nakashima, K. Tanaka,Clustering layers and boundary layers in spatially inhomogeneous phase transition problems, Ann. Inst. H. Poincar´e Anal. Non Lin´eaire20(2003), 107-143.

Hiroshi Matsuzawa

Numazu National College of Technology, Ooka 3600, Numazu-city, Shizuoka 410-8501, Japan

E-mail address:[email protected]

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